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dc.contributor.author | Ortiz, Alvaro | es_ES |
dc.contributor.author | Garcia-Nieto, Sergio | es_ES |
dc.contributor.author | Simarro Fernández, Raúl | es_ES |
dc.date.accessioned | 2022-10-07T18:07:05Z | |
dc.date.available | 2022-10-07T18:07:05Z | |
dc.date.issued | 2021-02-01 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/187296 | |
dc.description.abstract | [EN] Guidance, navigation, and control system design is, undoubtedly, one of the most relevant issues in any type of unmanned aerial vehicle, especially in the case of military missions. This task needs to be performed in the most efficient way possible, which involves trying to satisfy a set of requirements that are sometimes in opposition. The purpose of this article was to compare two different control strategies in conjunction with a path-planning and guidance system with the objective of completing military missions in the most satisfactory way. For this purpose, a novel dynamic trajectory-planning algorithm is employed, which can obtain an appropriate trajectory by analyzing the environment as a discrete 3D adaptive mesh and performs a softening process a posteriori. Moreover, two multivariable control techniques are proposed, i.e., the linear quadratic regulator and the model predictive control, which were designed to offer optimal responses in terms of stability and robustness. | es_ES |
dc.description.sponsorship | This work was partially funded by project RTI2018-096904-B-I00 from the Spanish Ministry of Economy and by project AICO/2019/055 from Generalitat Valenciana. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Electronics | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Unmanned aerial vehicles (UAVs) | es_ES |
dc.subject | Algorithm | es_ES |
dc.subject | UAV control | es_ES |
dc.subject | Tracking | es_ES |
dc.subject | Octree | es_ES |
dc.subject | Mapping | es_ES |
dc.subject | Sensors and actuators in UAVs | es_ES |
dc.subject | Path planning | es_ES |
dc.subject | Rectangloid | es_ES |
dc.subject | Trajectory | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Comparative Study of Optimal Multivariable LQR and MPC Controllers for Unmanned Combat Air Systems in Trajectory Tracking | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/electronics10030331 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//AICO%2F2019%2F055//Herramientas avanzadas para la obtención y análisis de soluciones en problemas de optimización multiobjetivo/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//RTI2018-096904-B-I00-AR//HERRAMIENTAS DE OPTIMIZACION MULTIOBJETIVO PARA LA CARACTERIZACION Y ANALISIS DE CONCEPTOS DE DISEÑO Y SOLUCIONES SUB-OPTIMAS EFICIENTES EN PROBLEMAS DE INGENIERIA DE SISTEMAS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica | es_ES |
dc.description.bibliographicCitation | Ortiz, A.; Garcia-Nieto, S.; Simarro Fernández, R. (2021). Comparative Study of Optimal Multivariable LQR and MPC Controllers for Unmanned Combat Air Systems in Trajectory Tracking. Electronics. 10(3):1-31. https://doi.org/10.3390/electronics10030331 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/electronics10030331 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 31 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 10 | es_ES |
dc.description.issue | 3 | es_ES |
dc.identifier.eissn | 2079-9292 | es_ES |
dc.relation.pasarela | S\426896 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |